| Citation: | SHA Yundong, ZHAO Junhao, LUAN Xiaochi, et al. Aircraft engine main bearing fault feature extraction method based on threshold parameter decision screening[J]. Journal of Aerospace Power, 2025, 40（3）：20230341 doi: 10.13224/j.cnki.jasp.20230341
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In view of the difficulty in extracting weak fault signals from rolling bearings in aircraft engines due to the influence of environmental noise, an aircraft engine main bearing fault feature extraction method based on threshold parameter decision screening was proposed. To adaptively select the parameters in variational mode decomposition (VMD), the particle swarm optimization (PSO) algorithm was used to optimize the parameters in the VMD algorithm, which were used as preparameters to process the raw vibration signals collected by sensors, bringing about
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